import paddle
"""
Run a rest API exposing the yolov5s object detection model
"""
import argparse
import io
from PIL import Image
from flask import Flask, request
app = Flask(__name__)
DETECTION_URL = '/v1/object-detection/yolov5s'


@app.route(DETECTION_URL, methods=['POST'])
def predict():
    if not request.method == 'POST':
        return
    if request.files.get('image'):
        image_file = request.files['image']
        image_bytes = image_file.read()
        img = Image.open(io.BytesIO(image_bytes))
        results = model(img, size=640)
        return results.pandas().xyxy[0].to_json(orient='records')


if __name__ == '__main__':
    parser = argparse.ArgumentParser(description=
        'Flask API exposing YOLOv5 model')
    parser.add_argument('--port', default=5000, type=int, help='port number')
    args = parser.parse_args()
    model = paddle.hub.load(repo_dir='ultralytics/yolov5', model='yolov5s',
        force_reload=True)
    app.run(host='0.0.0.0', port=args.port)
